A novel chaotic flower pollination algorithm for modelling an optimized low-complexity neural network-based NAV predictor model

IF 2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Progress in Artificial Intelligence Pub Date : 2022-09-03 DOI:10.1007/s13748-022-00289-z

S. Mohanty, Rajashree Dash

引用次数: 3

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一种新的混沌花授粉算法用于建模优化的低复杂度神经网络NAV预测模型

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Progress in Artificial Intelligence COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

9.70

自引率

0.00%

发文量

期刊介绍： This journal publishes top-level research results in all aspects of artificial intelligence, with a particular emphasis on the following topics: data mining; soft computing and computational intelligence; knowledge, complexity, logic, planning, reasoning and search; agents and multiagent systems; artificial vision and robotics; and natural language and Web intelligence.